Deep learning

IGC Pharma Adds Advisor in Artificial Intelligence

Retrieved on: 
Tuesday, April 9, 2024
Biotechnology, Technology, Health, Pharmaceutical, Health Technology, Other Science, Other Technology, Research, Artificial Intelligence, Science, Clinical Trials, Diagnosis, Agitation, Biomedicine, Mathematics, Universidad, Algorithm, Biomedical engineering, Paris Dauphine University, Risk, Patient, Artificial intelligence, AI, University, Deep learning, Universidad de los Andes, Computer vision, IGC, GxP, Dementia, Medical device

IGC Pharma, Inc. ("IGC Pharma," "IGC" or the "Company") (NYSE American: IGC) today announces the addition of Pablo Arbelaez, Ph.D., an expert in artificial intelligence (“AI”) and one of the world's top researchers.

Key Points: 
  • IGC Pharma, Inc. ("IGC Pharma," "IGC" or the "Company") (NYSE American: IGC) today announces the addition of Pablo Arbelaez, Ph.D., an expert in artificial intelligence (“AI”) and one of the world's top researchers.
  • This will help IGC Pharma identify individuals who are most likely to respond to treatment and accelerate the delivery of treatments to patients.
  • Pablo Arbeláez is a distinguished researcher with over 20 years of experience in Computer Vision and Artificial Intelligence.
  • Ram Mukunda, CEO of IGC Pharma, stated, "We welcome Dr. Pablo Arbelaez to our team of Senior Advisors.

CoreSite Helps Customers Accelerate Artificial Intelligence Adoption as NVIDIA DGX-Ready Data Center Partner

Retrieved on: 
Tuesday, April 9, 2024
Technology, Carriers and Services, Other Technology, Telecommunications, Networks, Internet, Hardware, IOT (Internet of Things), Artificial Intelligence, Certification, Organization, CH2, GPU, Natural language processing, Deep learning, SVP, CoreSite, Artificial intelligence, Data science, AI, VA3, DGX, API, Machine learning, American Tower, NVIDIA, Government

By choosing to host their NVIDIA DGX ™ infrastructure with CoreSite, customers can benefit from a national portfolio of high-density-powered data center campus environments for NVIDIA AI and high-performance computing at CoreSite locations including Los Angeles ( LA3 ), Silicon Valley ( SV9 ), Chicago ( CH2 ) and Northern Virginia ( VA3 ).

Key Points: 
  • By choosing to host their NVIDIA DGX ™ infrastructure with CoreSite, customers can benefit from a national portfolio of high-density-powered data center campus environments for NVIDIA AI and high-performance computing at CoreSite locations including Los Angeles ( LA3 ), Silicon Valley ( SV9 ), Chicago ( CH2 ) and Northern Virginia ( VA3 ).
  • “The exponential growth of AI and other emerging applications has increased the need for highly interconnected, purpose-built data centers to meet the growing demands for IT, power and cooling infrastructure,” said Juan Font, President and CEO of CoreSite, SVP of American Tower.
  • “Our certification as an NVIDIA DGX-Ready Data Center program partner will enhance CoreSite’s ability to deliver the data center space, advanced cooling and ultra high-density power requirements customers need while making it easier for them to deploy advanced technologies and bring their innovations to market.”
    As AI adoption accelerates, CoreSite data centers serve as hubs for interconnection, providing broad and efficient access to the data sources that are training AI models.
  • Current CoreSite customer AI use cases include:
    Software solutions offering real-time development platforms for companies in gaming, media and entertainment, general enterprise, manufacturing, government and more

Deloitte Digital Expands Apple Practice, Launches New Academy for Apple Vision Pro to Empower Enterprises and Prepare for the New Era of Spatial Computing

Retrieved on: 
Tuesday, April 9, 2024
IPad, Organization, Apple, IPhone, Gesture, Partnership, Ideation, Business value, Mac, Engineer, Deep learning, Engineering, Safety, Multimedia

NEW YORK, April 9, 2024 /PRNewswire/ -- 

Key Points: 
  • These courses cover a range of topics from ideation and application of spatial computing solutions to understanding spatial computing concepts and app development for Apple Vision Pro.
  • The Academy will help organizations empower their existing teams and prepare for the new era of spatial computing.
  • The Academy for Apple Vision Pro will help organizations empower their existing teams and prepare for the new era of spatial computing.
  • "The expansion of Deloitte's Apple practice and launch of their new Academy for Apple Vision Pro will help enterprises quickly take advantage of the new era of spatial computing.

Rocket Companies Introduces Rocket Logic AI Platform to Make Homeownership Faster and Easier

Retrieved on: 
Tuesday, April 9, 2024
Automation, Rocket Mortgage, Algorithm, Documentation, Risk, Logic, Anxiety, AI, Security (finance), Deep learning, Annual report, Machine learning, Family

DETROIT, April 9, 2024 /PRNewswire/ -- Rocket Mortgage, America's largest retail mortgage lender and a part of Rocket Companies (NYSE: RKT), today unveiled Rocket Logic – the company's patented artificial intelligence (AI) driven technology platform designed to make homeownership simpler and quicker. This platform makes the mortgage process more efficient by combining insights from more than 10 petabytes of proprietary data and 50 million annual call transcripts with state-of-the-art deep learning and generative AI systems, allowing Rocket Mortgage to close more loans faster.

Key Points: 
  • Patented platform simplifies and automates the end-to-end homebuying experience by leveraging generative AI, automation and machine learning
    DETROIT, April 9, 2024 /PRNewswire/ -- Rocket Mortgage , America's largest retail mortgage lender and a part of Rocket Companies (NYSE: RKT), today unveiled Rocket Logic – the company's patented artificial intelligence (AI) driven technology platform designed to make homeownership simpler and quicker.
  • Through Rocket Logic, homebuyers spend less time answering questions and confirming details for mortgage bankers.
  • Using AI, Rocket Logic scans and identifies the files to ensure clients are providing the correct documentation.
  • Rocket Mortgage plans to unveil additional products built on the Rocket Logic platform, including offerings for external partners, throughout 2024.

Global A.I. Healthcare Market Expected to Expand at CAGR of 36.4% From 2024 to 2030

Retrieved on: 
Tuesday, April 9, 2024
Cloud, GTC, Google Cloud, Algorithm, Software as a service, Natural language processing, Patient, Conditional sentence, Iris, Health care, Marvell Technology, Artificial intelligence, CX, Deep learning, Workplace, USD, Silicon, DS Automobiles, Speech, ACE, Partnership, PALM, Hippocrates, Language, OTCQB, PAM4, MRVL, Organization, Prevalence, EVP, News, Acquisition, AI, DSPS, Cloud computing, ChatGPT, SoundHound, Machine learning, Silicon photonics, Car, Diagnosis, Nvidia, GM, Growth, COVID-19, NLP, NVDA, Animation, NVIDIA, Human

PALM BEACH, Fla., April 9, 2024 /PRNewswire/ -- Experts universally see that the AI in the healthcare market will continue to reach new highs throughout this decade. A report from Grand View Research said that the global AI in healthcare market size was estimated at USD 22.45 billion in 2023 and is expected to expand at a compound annual growth rate (CAGR) of 36.4% from 2024 to 2030.  The report said: "Growing datasets of patient health-related digital information, increasing demand for personalized medicine, and rising need to reduce care expenses are some major drivers of market growth. The rising global geriatric population, changing lifestyles, and increasing prevalence of chronic diseases have contributed to a growth in demand for diagnosing and improved understanding of diseases in their initial stages. Artificial Intelligence (AI) and machine learning (ML) algorithms are being widely adopted and integrated into healthcare systems to accurately predict diseases in their early stage based on historical health datasets.  Furthermore, deep learning technologies, predictive analytics, content analytics, and natural language processing (NLP) tools are enabling care professionals to diagnose patient's underlying health conditions at an earlier stage. The COVID-19 pandemic positively influenced the demand for AI technologies and unearthed the potential of these advanced technologies. Healthcare systems widely adopted these technologies in the rapid diagnosis and detection of different virus strains and utilized personalized information in improving the management of the outbreak. AI/ML algorithms were utilized in the diagnosis sector wherein these technologically driven modules were trained with datasets of chest CT images, symptoms, pathological findings, and exposure history to diagnose COVID-19-positive patients rapidly and accurately."  Active tech companies in the markets this week include: Avant Technologies, Inc. (OTCQB: AVAI), NVIDIA Corporation (NASDAQ: NVDA), SoundHound AI, Inc. (NASDAQ: SOUN), CXApp Inc. (NASDAQ: CXAI), Marvell Technology, Inc. (NASDAQ: MRVL).

Key Points: 
  • A report from Grand View Research said that the global AI in healthcare market size was estimated at USD 22.45 billion in 2023 and is expected to expand at a compound annual growth rate (CAGR) of 36.4% from 2024 to 2030.
  • The COVID-19 pandemic positively influenced the demand for AI technologies and unearthed the potential of these advanced technologies.
  • Healthcare systems widely adopted these technologies in the rapid diagnosis and detection of different virus strains and utilized personalized information in improving the management of the outbreak.
  • This potent combination empowers healthcare and life sciences organizations to navigate the complexities of data and system interoperability with unprecedented efficiency.

Global A.I. Healthcare Market Expected to Expand at CAGR of 36.4% From 2024 to 2030

Retrieved on: 
Tuesday, April 9, 2024
Cloud, GTC, Google Cloud, Algorithm, Software as a service, Natural language processing, Patient, Conditional sentence, Iris, Health care, Marvell Technology, Artificial intelligence, CX, Deep learning, Workplace, USD, Silicon, DS Automobiles, Speech, ACE, Partnership, PALM, Hippocrates, Language, OTCQB, PAM4, MRVL, Organization, Prevalence, EVP, News, Acquisition, AI, DSPS, Cloud computing, ChatGPT, SoundHound, Machine learning, Silicon photonics, Car, Diagnosis, Nvidia, GM, Growth, COVID-19, NLP, NVDA, Animation, NVIDIA, Human

PALM BEACH, Fla., April 9, 2024 /PRNewswire/ -- Experts universally see that the AI in the healthcare market will continue to reach new highs throughout this decade. A report from Grand View Research said that the global AI in healthcare market size was estimated at USD 22.45 billion in 2023 and is expected to expand at a compound annual growth rate (CAGR) of 36.4% from 2024 to 2030.  The report said: "Growing datasets of patient health-related digital information, increasing demand for personalized medicine, and rising need to reduce care expenses are some major drivers of market growth. The rising global geriatric population, changing lifestyles, and increasing prevalence of chronic diseases have contributed to a growth in demand for diagnosing and improved understanding of diseases in their initial stages. Artificial Intelligence (AI) and machine learning (ML) algorithms are being widely adopted and integrated into healthcare systems to accurately predict diseases in their early stage based on historical health datasets.  Furthermore, deep learning technologies, predictive analytics, content analytics, and natural language processing (NLP) tools are enabling care professionals to diagnose patient's underlying health conditions at an earlier stage. The COVID-19 pandemic positively influenced the demand for AI technologies and unearthed the potential of these advanced technologies. Healthcare systems widely adopted these technologies in the rapid diagnosis and detection of different virus strains and utilized personalized information in improving the management of the outbreak. AI/ML algorithms were utilized in the diagnosis sector wherein these technologically driven modules were trained with datasets of chest CT images, symptoms, pathological findings, and exposure history to diagnose COVID-19-positive patients rapidly and accurately."  Active tech companies in the markets this week include: Avant Technologies, Inc. (OTCQB: AVAI), NVIDIA Corporation (NASDAQ: NVDA), SoundHound AI, Inc. (NASDAQ: SOUN), CXApp Inc. (NASDAQ: CXAI), Marvell Technology, Inc. (NASDAQ: MRVL).

Key Points: 
  • A report from Grand View Research said that the global AI in healthcare market size was estimated at USD 22.45 billion in 2023 and is expected to expand at a compound annual growth rate (CAGR) of 36.4% from 2024 to 2030.
  • The COVID-19 pandemic positively influenced the demand for AI technologies and unearthed the potential of these advanced technologies.
  • Healthcare systems widely adopted these technologies in the rapid diagnosis and detection of different virus strains and utilized personalized information in improving the management of the outbreak.
  • This potent combination empowers healthcare and life sciences organizations to navigate the complexities of data and system interoperability with unprecedented efficiency.

Deloitte Expands Strategic Alliance With Intel to Help Enterprises Optimize Artificial Intelligence and Generative AI Capabilities

Retrieved on: 
Tuesday, April 9, 2024
Intel, Synthetic media, PC, Digital, Library, AI, Software, Ultra, TCO, Deep learning, Architecture, Graphics processing unit, Data center, Workload, Machine learning, Generative, Medical device

NEW YORK, April 9, 2024 /PRNewswire/ -- Deloitte and Intel announced today a major expansion of their alliance to help enterprises around the world deploy their AI solutions cost efficiently with the latest hardware and software optimizations. These new offerings aim to address the growing needs as the marketplace evolves from experimenting with AI to scaling implementations for distinct use cases that deliver real value. This collaboration can help clients meet and exceed their performance requirements and budget targets by shifting AI workloads to a more cost-efficient architecture.             

Key Points: 
  • This collaboration can help clients meet and exceed their performance requirements and budget targets by shifting AI workloads to a more cost-efficient architecture.
  • Intel and Deloitte have teamed to help clients optimize for their specific industry, workload and situation.
  • Current joint Deloitte and Intel AI offerings include:
    Digital AI Strategy: Analyze and demonstrate the advantages of using Intel-based AI technologies.
  • AI Storefront Solutions: Access Deloitte and Intel-vetted independent software vendors solutions built on next-gen AI hardware and personal computers.

Model Medicines Unveils Groundbreaking AI Drug Discovery Advances in New Chemistry and New Biology with Two New Preprint Papers

Retrieved on: 
Tuesday, April 9, 2024
AXL, Infection, Drug discovery, COVID-19, RNA-dependent RNA polymerase, FACP, FIDSA, RNA, Research, Publishing, AI, UC San Diego Health, Deep learning, GALILEO, Preprint, Orthornavirae, Therapy, Pandemic, BioRxiv, MAS, BRD4

LA JOLLA, Calif., April 9, 2024 /PRNewswire/ -- Model Medicines, a leading human health company specializing in generative AI-driven drug discovery, today announced the publication of two significant preprint papers on bioRxiv detailing major advances in antiviral and oncology drug discovery.

Key Points: 
  • LA JOLLA, Calif., April 9, 2024 /PRNewswire/ -- Model Medicines, a leading human health company specializing in generative AI-driven drug discovery, today announced the publication of two significant preprint papers on bioRxiv detailing major advances in antiviral and oncology drug discovery.
  • Using bioinformatics and deep learning, they also found MDL-001 to be a promising orally bioavailable broad-spectrum antiviral that blocks the RdRp Thumb-1 site.
  • In the second preprint, "ChemPrint: An AI-Driven Framework for Enhanced Drug Discovery" , Model Medicines details their foundational GALILEO AI platform and its core ChemPrint deep learning model for molecular property prediction.
  • By employing adaptive molecular embeddings and rigorous model training and validation methods, ChemPrint substantially outperformed conventional AI approaches.

WiMi Developed a Hybrid Machine Learning Model Based on VMD and SVR to Lead Bitcoin Price Prediction

Retrieved on: 
Monday, April 8, 2024
Cloud, VMF, Holography, WIMI, Algorithm, VMDS, Learning, Noise, Augmented reality, Research, VMware VMFS, SVR, Deep learning, Aggregation, VMD, Machine learning, Cryptocurrency

SVR, a core component of the machine learning algorithms, provides powerful predictive capabilities by capturing nonlinear relationships in the feature space of the technical model.

Key Points: 
  • SVR, a core component of the machine learning algorithms, provides powerful predictive capabilities by capturing nonlinear relationships in the feature space of the technical model.
  • The hybrid input of technical indicators and the reconstructed VFMs of the VMD allow SVR to provide a more comprehensive understanding of market dynamics.
  • To ensure the relevance of the predictive model data, intraday bitcoin price data was preprocessed and normalized.
  • Going forward, WiMi will continue to deepen its market data and integrate more emerging technologies to further enhance the performance of its two-stage hybrid machine learning model.

Securing Canada's AI advantage

Retrieved on: 
Sunday, April 7, 2024
First Nations, Child care, Natural language processing, NRC, Artificial intelligence, Child, Deep learning, Parliament, Investment, Democracy, Cohere, SSHRC, Woman, Safety, G7, Natural science, Drug discovery, Canada national team, Commons, Agriculture, Federation, Act, Research, Regional development agency, IRAP, Food, IBM, House, AIDA, National Research Council, Coveo, Digital, Health, Millennials, OpenText, Government, Growth, Today, TELUS, Public, Advisory Council, Working Group, Life, Housing, Ecosystem, BlackBerry, Social science, CIHR, Medical device

The Prime Minister, Justin Trudeau, today announced a $2.4 billion package of measures from the upcoming Budget 2024 to secure Canada's AI advantage.

Key Points: 
  • The Prime Minister, Justin Trudeau, today announced a $2.4 billion package of measures from the upcoming Budget 2024 to secure Canada's AI advantage.
  • We will also develop a new Canadian AI Sovereign Compute Strategy to catalyze the development of Canadian-owned and located AI infrastructure.
  • Creating a new Canadian AI Safety Institute, with $50 million to further the safe development and deployment of AI.
  • Today's announcement is about investing in innovation and economic growth to secure Canada's world-leading AI advantage today and for generations to come.